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A basic argumentation process where the outcomes from different models can argue for generating a final output.

Project description

<h1>BasicEnsembleArgumentation</h1>

<p>The BasicEnsembleArgumentation library provides methods to generate reliable results. A data set is classified by several models (classifiers). Different models produce different outputs and the produced outputs are combined by an argumentation approach. The argumentation approach produces a final output through a decision making process. The whole process follows an ensemble architecture. </p> <h1>User Manual</h1>

<p>Install Basicenssembleargumentation: </p>

<code>pip install Basicenssembleargumentation</code>

<p>Import the library: </p>

<code>from EnsArg import argumentation</code>

<p>Import necessary pacakages: </p>

Change Log

0.0.1 (24/05/2020)

  • First Release

Project details


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